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• Converting from Latitude/Longitude to Cartesian Coordinates with a World File and map image.

  - by Heath

  I have a java applet that allows users to import a jpeg and world file from the local system. The user can then "click" draw lines on the image that was imported. Each endpoint of each line contains a set of X/Y and Lat/Long values. The XY is standard java coordinate space, the applet uses an affine transform calculation with the world file to determine the lat/long for every point on the canvas. I have a requirement that allows a user to type a distance into a text field and use the arrow key to draw a line in a certain direction (Up, Down, Left, Right) from a single selected point on the screen. I know how to determine the lat/long of a point given a source lat/long, distance, and bearing. So a user types "100" in the text field and presses the Right arrow key a line should be drawn 100 feet to the right from the currently selected point. My issue is I don't know how to convert the distance( which is in feet ) into the distance in pixels. This would then tell my where to plot the point.

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• JFreeChart - change SeriesStroke of chart lines from solid to dashed in one line

  - by MisterMichaelK

  The answer accepted here (JFreechart(Java) - How to draw lines that is partially dashed lines and partially solid lines?) helped me start down the path of changing my seriesstroke lines on my chart. After stepping through my code and watching the changes, I see that my seriesstroke does in fact change to "dashedStroke" when it is supposed to (after a certain date "dai"), but when the chart is rendered the entire series line is dashed. How can I get a series line to be drawn solid at first and dashed after a set date? /* series line modifications */ final Number dashedAfter = timeNowDate.getTime(); final int dai = Integer.parseInt(ndf.format(timeNowDate)); XYLineAndShapeRenderer render = new XYLineAndShapeRenderer() { Stroke regularStroke = new BasicStroke(); Stroke dashedStroke = new BasicStroke( 1.0f, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND, 1.0f, new float[] {10.0f, 6.0f}, 0.0f ); @Override public Stroke getItemStroke(int row, int column) { Number xVal = cd.getXValue(row, column); int xiv = xVal.intValue(); if (xVal.doubleValue() > dashedAfter.doubleValue()) { return dashedStroke; } else { return regularStroke; } } }; plot.setRenderer(render);

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• Graph limitations - Should I use Decorator?

  - by Nick Wiggill

  I have a functional AdjacencyListGraph class that adheres to a defined interface GraphStructure. In order to layer limitations on this (eg. acyclic, non-null, unique vertex data etc.), I can see two possible routes, each making use of the GraphStructure interface: Create a single class ("ControlledGraph") that has a set of bitflags specifying various possible limitations. Handle all limitations in this class. Update the class if new limitation requirements become apparent. Use the decorator pattern (DI, essentially) to create a separate class implementation for each individual limitation that a client class may wish to use. The benefit here is that we are adhering to the Single Responsibility Principle. I would lean toward the latter, but by Jove!, I hate the decorator Pattern. It is the epitome of clutter, IMO. Truthfully it all depends on how many decorators might be applied in the worst case -- in mine so far, the count is seven (the number of discrete limitations I've recognised at this stage). The other problem with decorator is that I'm going to have to do interface method wrapping in every... single... decorator class. Bah. Which would you go for, if either? Or, if you can suggest some more elegant solution, that would be welcome. EDIT: It occurs to me that using the proposed ControlledGraph class with the strategy pattern may help here... some sort of template method / functors setup, with individual bits applying separate controls in the various graph-canonical interface methods. Or am I losing the plot?

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• how to handle an asymptote/discontinuity with Matplotlib

  - by Geddes

  Hello all. Firstly - thanks again for all your help. Sorry not to have accepted the responses to my previous questions as I did not know how the system worked (thanks to Mark for pointing that out!). I have since been back and gratefully acknowledged the kind help I have received. My question: when plotting a graph with a discontinuity/asymptote/singularity/whatever, is there any automatic way to prevent Matplotlib from 'joining the dots' across the 'break'? (please see code/image below). I read that Sage has a [detect_poles] facility that looked good, but I really want it to work with Matplotlib. Thanks and best wishes, Geddes import matplotlib.pyplot as plt import numpy as np from sympy import sympify, lambdify from sympy.abc import x fig = plt.figure(1) ax = fig.add_subplot(111) # set up axis ax.spines['left'].set_position('zero') ax.spines['right'].set_color('none') ax.spines['bottom'].set_position('zero') ax.spines['top'].set_color('none') ax.xaxis.set_ticks_position('bottom') ax.yaxis.set_ticks_position('left') # setup x and y ranges and precision xx = np.arange(-0.5,5.5,0.01) # draw my curve myfunction=sympify(1/(x-2)) mylambdifiedfunction=lambdify(x,myfunction,'numpy') ax.plot(xx, mylambdifiedfunction(xx),zorder=100,linewidth=3,color='red') #set bounds ax.set_xbound(-1,6) ax.set_ybound(-4,4) plt.show()

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• How to add legend to imshow() in matplotlib

  - by rankthefirst

  I am using matplotlib In plot() or bar(), we can easily put legend, if we add labels to them. but what if it is a contourf() or imshow() I know there is a colorbar() which can present the color range, but it is not satisfied. I want such a legend which have names(labels). For what I can think of is that, add labels to each element in the matrix, then ,try legend(), to see if it works, but how to add label to the element, like a value?? in my case, the raw data is like: 1,2,3,3,4 2,3,4,4,5 1,1,1,2,2 for example, 1 represents 'grass', 2 represents 'sand', 3 represents 'hill'... and so on. imshow() works perfectly with my case, but without the legend. my question is: Is there a function that can automatically add legend, for example, in my case, I just have to do like this: someFunction('grass','sand',...) If there isn't, how do I add labels to each value in the matrix. For example, label all the 1 in the matrix 'grass', labell all the 2 in the matrix 'sand'...and so on. Thank you!

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• Python fit polynomial, power law and exponential from data

  - by Nadir

  I have some data (x and y coordinates) coming from a study and I have to plot them and to find the best curve that fits data. My curves are: polynomial up to 6th degree; power law; and exponential. I am able to find the best fit for polynomial with while(i < 6): coefs, val = poly.polyfit(x, y, i, full=True) and I take the degree that minimizes val. When I have to fit a power law (the most probable in my study), I do not know how to do it correctly. This is what I have done. I have applied the log function to all x and y and I have tried to fit it with a linear polynomial. If the error (val) is lower than the others polynomial tried before, I have chosen the power law function. Am I correct? Now how can I reconstruct my power law starting from the line y = mx + q in order to draw it with the original points? I need also to display the function found. I have tried with: def power_law(x, m, q): return q * (x**m) using x_new = np.linspace(x[0], x[-1], num=len(x)*10) y1 = power_law(x_new, coefs[0], coefs[1]) popt, pcov = curve_fit(power_law, x_new, y1) but it seems not to work well.

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• rs232 communication, general timing question

  - by Sunny Dee

  Hi, I have a piece of hardware which sends out a byte of data representing a voltage signal at a frequency of 100Hz over the serial port. I want to write a program that will read in the data so I can plot it. I know I need to open the serial port and open an inputstream. But this next part is confusing me and I'm having trouble understanding the process conceptually: I create a while loop that reads in the data from the inputstream 1 byte at a time. How do I get the while loop timing so that there is always a byte available to be read whenever it reaches the readbyte line? I'm guessing that I can't just put a sleep function inside the while loop to try and match it to the hardware sample rate. Is it just a matter of continuing reading the inputstream in the while loop, and if it's too fast then it won't do anything (since there's no new data), and if it's too slow then it will accumulate in the inputstream buffer? Like I said, i'm only trying to understand this conceptually so any guidance would be much appreciated! I'm guessing the idea is independent of which programming language I'm using, but if not, assume it is for use in Java. Thanks!

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• MATLAB only prints a part of my figure

  - by simonty

  I'm trying to print my figure in Matlab, but it keeps screwing up and I have no idea why. opslaan = figure(1); plot(1:handles.aantal,handles.nauw,'-r','LineWidth',1.5); xlabel(gca,sprintf('Framenummer (%g ms per frame)',60/handles.aantal)); ylabel(gca,'dB'); set(gca,'YGrid','on'); yAsMax = ceil( ceil(max(handles.nauw)) / 2) * 2; axis([0 handles.aantal 0 yAsMax]); pause(1); print -dpng image.png The first line is just plotting the data on my figure, then labeling x and y, turning on grid and caculating the y-axis like I want it. This all works great and Matlab shows it like I want it in the Figure window. When saving to .png / .jpeg / .eps it goes wrong and only prints the bottom left corner (473x355 pixels), the rest just disappeared. When exporting manually via File - Save As, it works correctly. Any help? Thanks!

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• Help with mysql sum and group query and managing jquery graph results.

  - by Scarface

  Hey guys, I have a system I am trying to design that will retrieve information from a database, so that it can be plotted in a jquery graph. I need to retrieve the information and somehow put it in the necessary format (for example two coordinates var d = [[1269417600000, 10],[1269504000000, 15]];). My table that I am selecting from is a table that stores user votes with fields: points_id (1=vote up ,2=vote down), user_id, timestamp, and topic_id. What I need to do is select all the votes and somehow group them into respective days and then sum the difference between 1 votes and 2 votes for each day. I then need to somehow display the data in the appropriate plotting format shown earlier. For example April 1, 4 votes. The data needs to be separated by commas, except the last plot entry, so I am not sure how to approach that. I showed an example below of the kind of thing I need but it is not correct, echo "var d=["; $query=mysql_query("SELECT *, SUM(IF(points_id = \"1\", 1,0))-SUM(IF([points_id = \"2\", 1,0)) AS 'total' FROM points LEFT JOIN topic on topic.topic_id=points.topic_id WHERE topic.creator='$user' GROUP by timestamp HAVING certain time interval"); while ($row=mysql_fetch_assoc($query)){ $timestamp=$row['timestamp']; $votes=$row['total']; echo "[$timestamp,$vote],"; } echo "];";

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• How to run R through PHP with exec?

  - by dkar

  I am going to ask something, that I know that it has been asked already some times. But since, all of the past posts are quite old and none of them answer my problem..I try again. I am completely new in R language and relative new in php. What I want to do is to use the exec() function from php in order to execute a R script. Most of the people here will start talking about rapache, rserve and I don't know what else..but since I am not familiar with all these technologies, I prefer just using exec. The code I will show here is working just fine when I run it with Rscript from the terminal. # R script png("temp.png") plot(5,5) dev.off() But when I try to run it either with Rscript or with R CMD BATCH from PHP, like this: echo exec("Rscript my_rscript.R"); //OR //echo exec("R CMD BATCH my_rscript.R"); I get nothing back. I have checked if exec() function is available and if it works. Everything is ok with this. I read also, that I might have to change the permissions of the webserver...but I don't know how to do this in mamp. I hope I am clear with my problem and someone can help. Thanks Dimitris

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• How can I include a .eps figure within a Tikz simple flow chart?

  - by Jan

  Hi, I would like to create a simple flow chart in latex with the TikZ package similar to the following example http://www.texample.net/tikz/examples/simple-flow-chart/ However I would like to include figures (a time series plot created in R, as eps or something else) within the flowchart (e.g. for example within a {block}? \documentclass{article} \usepackage[latin1]{inputenc} \usepackage{tikz} \usetikzlibrary{shapes,arrows} \begin{document} \pagestyle{empty} % Define block styles \tikzstyle{decision} = [diamond, draw, fill=blue!20, text width=4.5em, text badly centered, node distance=3cm, inner sep=0pt] \tikzstyle{block} = [rectangle, draw, fill=blue!20, text width=5em, text centered, rounded corners, minimum height=4em] \tikzstyle{line} = [draw, -latex'] \tikzstyle{cloud} = [draw, ellipse,fill=red!20, node distance=3cm, minimum height=2em] \begin{tikzpicture}[node distance = 2cm, auto] % Place nodes \node [block] (init) {initialize model}; \node [cloud, left of=init] (expert) {expert}; \node [cloud, right of=init] (system) {system}; \node [block, below of=init] (identify) {identify candidate models}; \node [block, below of=identify] (evaluate) {evaluate candidate models}; \node [block, left of=evaluate, node distance=3cm] (update) {update model}; \node [decision, below of=evaluate] (decide) {is best candidate better?}; \node [block, below of=decide, node distance=3cm] (stop) {stop}; % Draw edges \path [line] (init) -- (identify); \path [line] (identify) -- (evaluate); \path [line] (evaluate) -- (decide); \path [line] (decide) -| node [near start] {yes} (update); \path [line] (update) |- (identify); \path [line] (decide) -- node {no}(stop); \path [line,dashed] (expert) -- (init); \path [line,dashed] (system) -- (init); \path [line,dashed] (system) |- (evaluate); \end{tikzpicture} \end{document} Thanks, Jan

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• Unexpected performance curve from CPython merge sort

  - by vkazanov

  I have implemented a naive merge sorting algorithm in Python. Algorithm and test code is below: import time import random import matplotlib.pyplot as plt import math from collections import deque def sort(unsorted): if len(unsorted) <= 1: return unsorted to_merge = deque(deque([elem]) for elem in unsorted) while len(to_merge) > 1: left = to_merge.popleft() right = to_merge.popleft() to_merge.append(merge(left, right)) return to_merge.pop() def merge(left, right): result = deque() while left or right: if left and right: elem = left.popleft() if left[0] > right[0] else right.popleft() elif not left and right: elem = right.popleft() elif not right and left: elem = left.popleft() result.append(elem) return result LOOP_COUNT = 100 START_N = 1 END_N = 1000 def test(fun, test_data): start = time.clock() for _ in xrange(LOOP_COUNT): fun(test_data) return time.clock() - start def run_test(): timings, elem_nums = [], [] test_data = random.sample(xrange(100000), END_N) for i in xrange(START_N, END_N): loop_test_data = test_data[:i] elapsed = test(sort, loop_test_data) timings.append(elapsed) elem_nums.append(len(loop_test_data)) print "%f s --- %d elems" % (elapsed, len(loop_test_data)) plt.plot(elem_nums, timings) plt.show() run_test() As much as I can see everything is OK and I should get a nice N*logN curve as a result. But the picture differs a bit: Things I've tried to investigate the issue: PyPy. The curve is ok. Disabled the GC using the gc module. Wrong guess. Debug output showed that it doesn't even run until the end of the test. Memory profiling using meliae - nothing special or suspicious. ` I had another implementation (a recursive one using the same merge function), it acts the similar way. The more full test cycles I create - the more "jumps" there are in the curve. So how can this behaviour be explained and - hopefully - fixed? UPD: changed lists to collections.deque UPD2: added the full test code UPD3: I use Python 2.7.1 on a Ubuntu 11.04 OS, using a quad-core 2Hz notebook. I tried to turn of most of all other processes: the number of spikes went down but at least one of them was still there.

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• Flex wordwrap issue with multiple text instances

  - by Craig Myles

  Hi, I have a scenario where I want to dynamically add words of text to a container so that it forms a paragraph of text which is wrapped neatly according to the size of the parent container. Each text element will have differing formatting, and will have differing user interaction options. For example, imagine the text " has just spoken out about ". Each word will be added to the container one at a time, at run time. The username in this case would be bold, and if clicked on will trigger an event. Same with the news article. The rest of the text is just plain text which, when clicked on, would do nothing. Now, I'm using Flex 3 so I don't have access to the fancy new text formatting tools. I've implemented a solution where the words are plotted onto a canvas, but this means that the words are wrapped at a particular y position (an arbitrary value I've chosen). When the container is resized, the words still wrap at that position which leaves lots of space. I thought about adding each text element to an Array Collection and using this as a datasource for a Tile List, but Tile Lists don't support variable column widths (in my limited knowledge) so each word would use the same amount of space which isn't ideal. Does anyone know how I can plot words onto a container so that I can retain formatting, events and word wrapping at paragraph level, even if the container is resized?

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• R: How to remove outliers from a smoother in ggplot2?

  - by John

  I have the following data set that I am trying to plot with ggplot2, it is a time series of three experiments A1, B1 and C1 and each experiment had three replicates. I am trying to add a stat which detects and removes outliers before returning a smoother (mean and variance?). I have written my own outlier function (not shown) but I expect there is already a function to do this, I just have not found it. I've looked at stat_sum_df("median_hilow", geom = "smooth") from some examples in the ggplot2 book, but I didn't understand the help doc from Hmisc to see if it removes outliers or not. Is there a function to remove outliers like this in ggplot, or where would I amend my code below to add my own function? library (ggplot2) data = data.frame (day = c(1,3,5,7,1,3,5,7,1,3,5,7,1,3,5,7,1,3,5,7,1,3,5,7,1,3,5,7,1,3,5,7,1,3,5,7), od = c( 0.1,1.0,0.5,0.7 ,0.13,0.33,0.54,0.76 ,0.1,0.35,0.54,0.73 ,1.3,1.5,1.75,1.7 ,1.3,1.3,1.0,1.6 ,1.7,1.6,1.75,1.7 ,2.1,2.3,2.5,2.7 ,2.5,2.6,2.6,2.8 ,2.3,2.5,2.8,3.8), series_id = c( "A1", "A1", "A1","A1", "A1", "A1", "A1","A1", "A1", "A1", "A1","A1", "B1", "B1","B1", "B1", "B1", "B1","B1", "B1", "B1", "B1","B1", "B1", "C1","C1", "C1", "C1", "C1","C1", "C1", "C1", "C1","C1", "C1", "C1"), replicate = c( "A1.1","A1.1","A1.1","A1.1", "A1.2","A1.2","A1.2","A1.2", "A1.3","A1.3","A1.3","A1.3", "B1.1","B1.1","B1.1","B1.1", "B1.2","B1.2","B1.2","B1.2", "B1.3","B1.3","B1.3","B1.3", "C1.1","C1.1","C1.1","C1.1", "C1.2","C1.2","C1.2","C1.2", "C1.3","C1.3","C1.3","C1.3")) > data day od series_id replicate 1 1 0.10 A1 A1.1 2 3 1.00 A1 A1.1 3 5 0.50 A1 A1.1 4 7 0.70 A1 A1.1 5 1 0.13 A1 A1.2 6 3 0.33 A1 A1.2 7 5 0.54 A1 A1.2 8 7 0.76 A1 A1.2 9 1 0.10 A1 A1.3 10 3 0.35 A1 A1.3 11 5 0.54 A1 A1.3 12 7 0.73 A1 A1.3 13 1 1.30 B1 B1.1 This is what I have so far and is working nicely, but outliers are not removed: r <- ggplot(data = data, aes(x = day, y = od)) r + geom_point(aes(group = replicate, color = series_id)) + # add points geom_line(aes(group = replicate, color = series_id)) + # add lines geom_smooth(aes(group = series_id)) # add smoother, average of each replicate

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• Matlab Simulation: Point (symbol) Moving from start point to end point and back

  - by niko

  Hi, I would like to create an animation to demonstrate LDPC coding which is based on Sum-Product Algorithm So far I have created a graph which shows the connections between symbol nodes (left) and parity nodes (right) and would like to animate points travelling from symbol to parity nodes and back. The figure is drawn by executing the following method: function drawVertices(H) hold on; nodesCount = size(H); parityNodesCount = nodesCount(1); symbolNodesCount = nodesCount(2); symbolPoints = zeros(symbolNodesCount, 2); symbolPoints(:, 1) = 0; for i = 0 : symbolNodesCount - 1 ji = symbolNodesCount - i; scatter(0, ji) symbolPoints(i + 1, 2) = ji; end; parityPoints = zeros(parityNodesCount, 2); parityPoints(:, 1) = 10; for i = 0 : parityNodesCount - 1 ji = parityNodesCount - i; y0 = symbolNodesCount/2 - parityNodesCount/2; scatter(10, y0 + ji) parityPoints(i + 1, 2) = y0 + ji; end; axis([-1 11 -1 symbolNodesCount + 2]); axis off %connect vertices d = size(H); for i = 1 : d(1) for j = 1 : d(2) if(H(i, j) == 1) plot([parityPoints(i, 1) symbolPoints(j, 1)], [parityPoints(i, 2) symbolPoints(j, 2)]); end; end; end; So what I would like to do here is to add another method which takes start point (x and y) and end point as arguments and animates a travelling circle (dot) from start to end and back along the displayed lines. I would appreciate if anyone of you could show the solution or suggest any useful tutorial about matlab simulations. Thank you!

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• iPad: Detecting External Keyboard

  - by StuartW

  My app uses a UIAccessoryView to provide additional keyboard functionality (such as forward/backward tabs and arrows keys) for the virtual keyboard, but that causes UIKeyboardDidShowNotification to fire even when a physical keyboard is present (the accessory appears at the bottom of the screen). I'd like to check if a physical keyboard is attached when handling UIKeyboardWillShowNotification, to prevent the accessory view from appearing and to prevent my custom view from scrolling up (to make room for the non-existent virtual keyboard). I've tried examining the UIKeyboardFrameEndUserInfoKey key, but it returns a real size for the virtual keyboard, in spite of nothing being displayed. Is there any way to detect the presence of a physical keyboard to prevent this unwanted behaviour? Hmm, the plot thickens. I tried disabling the input accessory by returning nil from the inputAccessoryView property of the Responder object which triggers the keyboard. That suppresses UIKeyboardWillShowNotification and UIKeyboardDidShowNotification when there is a physical keyboard present, but keeps these notifications when there is no such keyboard. All good so far. Then I tried re-enabling inputAccessoryView only after UIKeyboardWillShowNotification had been received. This only fires when a virtual keyboard is needed, so it should allow me to reintroduce the accessory view in those circumstances. Or so I thought. Unfortunately, it seems the OS doesn't check inputAccessoryView after UIKeyboardWillShowNotification, so it fails to show the accessory view when it is needed :o( That leaves me with two options: Include the input accessory view, giving extra functionality for virtual keyboard users, but lose the ability to detect a physical keyboard and hence not supporting physical devices; or Exclude the input accessory altogether, preventing most users from accessing the extra keys, but allowing the app to work with a physical keyboard. Not a great choice, so I'm still keen to see if anyone else has addressed this problem!

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• How to manage multiple python versions ?

  - by Gyom

  short version: how can I get rid of the multiple-versions-of-python nightmare ? long version: over the years, I've used several versions of python, and what is worse, several extensions to python (e.g. pygame, pylab, wxPython...). Each time it was on a different setup, with different OSes, sometimes different architectures (like my old PowerPC mac). Nowadays I'm using a mac (OSX 10.6 on x86-64) and it's a dependency nightmare each time I want to revive script older than a few months. Python itself already comes in three different flavours in /usr/bin (2.5, 2.6, 3.1), but I had to install 2.4 from macports for pygame, something else (cannot remember what) forced me to install all three others from macports as well, so at the end of the day I'm the happy owner of seven (!) instances of python on my system. But that's not the problem, the problem is, none of them has the right (i.e. same set of) libraries installed, some of them are 32bits, some 64bits, and now I'm pretty much lost. For example right now I'm trying to run a three-year-old script (not written by me) which used to use matplotlib/numpy to draw a real-time plot within a rectangle of a wxwidgets window. But I'm failing miserably: py26-wxpython from macports won't install, stock python has wxwidgets included but also has some conflict between 32 bits and 64 bits, and it doesn't have numpy... what a mess ! Obviously, I'm doing things the wrong way. How do you usally cope with all that chaos ?e

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• Calculating confidence intervals for a non-normal distribution

  - by Josiah

  Hi all, First, I should specify that my knowledge of statistics is fairly limited, so please forgive me if my question seems trivial or perhaps doesn't even make sense. I have data that doesn't appear to be normally distributed. Typically, when I plot confidence intervals, I would use the mean +- 2 standard deviations, but I don't think that is acceptible for a non-uniform distribution. My sample size is currently set to 1000 samples, which would seem like enough to determine if it was a normal distribution or not. I use Matlab for all my processing, so are there any functions in Matlab that would make it easy to calculate the confidence intervals (say 95%)? I know there are the 'quantile' and 'prctile' functions, but I'm not sure if that's what I need to use. The function 'mle' also returns confidence intervals for normally distributed data, although you can also supply your own pdf. Could I use ksdensity to create a pdf for my data, then feed that pdf into the mle function to give me confidence intervals? Also, how would I go about determining if my data is normally distributed. I mean I can currently tell just by looking at the histogram or pdf from ksdensity, but is there a way to quantitatively measure it? Thanks!

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• Jqplot ajax request

  - by Moozy

  I'm trying to do a dynamic content load for JQplot charts, but something is wrong: this is my javascript code: $(document).ready(function(){ var ajaxDataRenderer = function(url, plot, options) { var ret = null; $.ajax({ // have to use synchronous here, else the function // will return before the data is fetched async: false, url: url, dataType:"json", success: function(data) { ret = data; console.warn(data); } }); return ret; }; // The url for our json data var jsonurl = "getData.php"; var plot1 = $.jqplot('chart1', jsonurl, { title:'Data Point Highlighting', dataRenderer: ajaxDataRenderer, dataRendererOptions: { unusedOptionalUrl: jsonurl }, axes:{ xaxis: { renderer:$.jqplot.DateAxisRenderer, min: '11/01/2012', max: '11/30/2012', tickOptions:{formatString:'%b %#d'}, tickInterval:'5 days' }, yaxis:{ tickOptions:{ formatString:'%.2f' } } }, highlighter: { show: true, sizeAdjust: 7.5 }, cursor: { show: false } }); }); </script> and it is displaying the chart, but it is not displaying the values, looklike its not getting my data. output of: console.warn(data); is: [["11-01-2012",0],["11-02-2012",0],["11-03-2012",0],["11-04-2012",0],["11-05-2012",0],["11-06-2012",0],["11-07-2012",0],["11-08-2012",0],["11-09-2012",0],["11-10-2012",0],["11-11-2012",0],["11-12-2012",0],["11-13-2012",0],["11-14-2012",0],["11-15-2012",2],["11-16-2012",5],["11-17-2012",0],["11-18-2012",1],["11-19-2012",0],["11-20-2012",0],["11-21-2012",0],["11-22-2012",0],["11-23-2012",0],["11-24-2012",0],["11-25-2012",1],["11-26-2012",0],["11-27-2012",0],["11-28-2012",0],["11-29-2012",0],["11-30-2012",0]]

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• Scapy install issues. Nothing seems to actually be installed?

  - by Chris

  I have an apple computer running Leopard with python 2.6. I downloaded the latest version of scapy and ran "python setup.py install". All went according to plan. Now, when I try to run it in interactive mode by just typing "scapy", it throws a bunch of errors. What gives! Just in case, here is the FULL error message.. INFO: Can't import python gnuplot wrapper . Won't be able to plot. INFO: Can't import PyX. Won't be able to use psdump() or pdfdump(). ERROR: Unable to import pcap module: No module named pcap/No module named pcapy ERROR: Unable to import dnet module: No module named dnet Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/runpy.py", line 122, in _run_module_as_main "__main__", fname, loader, pkg_name) File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/runpy.py", line 34, in _run_code exec code in run_globals File "/Users/owner1/Downloads/scapy-2.1.0/scapy/__init__.py", line 10, in <module> interact() File "scapy/main.py", line 245, in interact scapy_builtins = __import__("all",globals(),locals(),".").__dict__ File "scapy/all.py", line 25, in <module> from route6 import * File "scapy/route6.py", line 264, in <module> conf.route6 = Route6() File "scapy/route6.py", line 26, in __init__ self.resync() File "scapy/route6.py", line 39, in resync self.routes = read_routes6() File "scapy/arch/unix.py", line 147, in read_routes6 lifaddr = in6_getifaddr() File "scapy/arch/unix.py", line 123, in in6_getifaddr i = dnet.intf() NameError: global name 'dnet' is not defined

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• making binned boxplot in matplotlib with numpy and scipy in Python

  - by user248237

  I have a 2-d array containing pairs of values and I'd like to make a boxplot of the y-values by different bins of the x-values. I.e. if the array is: my_array = array([[1, 40.5], [4.5, 60], ...]]) then I'd like to bin my_array[:, 0] and then for each of the bins, produce a boxplot of the corresponding my_array[:, 1] values that fall into each box. So in the end I want the plot to contain number of bins-many box plots. I tried the following: min_x = min(my_array[:, 0]) max_x = max(my_array[:, 1]) num_bins = 3 bins = linspace(min_x, max_x, num_bins) elts_to_bins = digitize(my_array[:, 0], bins) However, this gives me values in elts_to_bins that range from 1 to 3. I thought I should get 0-based indices for the bins, and I only wanted 3 bins. I'm assuming this is due to some trickyness with how bins are represented in linspace vs. digitize. What is the easiest way to achieve this? I want num_bins-many equally spaced bins, with the first bin containing the lower half of the data and the upper bin containing the upper half... i.e., I want each data point to fall into some bin, so that I can make a boxplot. thanks.

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• Change the colour of ablines on ggplot

  - by Sarah

  Using this data I am fitting a plot: p <- ggplot(dat, aes(x=log(Explan), y=Response)) + geom_point(aes(group=Area, colour=Area))+ geom_abline(slope=-0.062712, intercept=0.165886)+ geom_abline(slope= -0.052300, intercept=-0.038691)+ scale_x_continuous("log(Mass) (g)")+ theme(axis.title.y=element_text(size=rel(1.2),vjust=0.2), axis.title.x=element_text(size=rel(1.2),vjust=0.2), axis.text.x=element_text(size=rel(1.3)), axis.text.y=element_text(size=rel(1.3)), text = element_text(size=13)) + scale_colour_brewer(palette="Set1") The two ablines represent the phylogenetically adjusted relationships for each Area trend. I am wondering, is it possible to get the ablines in the same colour palette as their appropriate area data? The first specified is for Area A, the second for Area B. I used: g <- ggplot_build(p) to find out that the first colour is #E41A1C and the second is #377EB8, however when I try to use aes within the +geom_abline command to specify these colours i.e. p <- ggplot(dat, aes(x=log(Explan), y=Response)) + geom_point(aes(group=Area, colour=Area))+ geom_abline(slope=-0.062712, intercept=0.165886,aes(colour='#E41A1C'))+ geom_abline(slope= -0.052300, intercept=-0.038691,aes(colour=#377EB8))+ scale_x_continuous("log(Mass) (g)")+ theme(axis.title.y=element_text(size=rel(1.2),vjust=0.2), axis.title.x=element_text(size=rel(1.2),vjust=0.2), axis.text.x=element_text(size=rel(1.3)), axis.text.y=element_text(size=rel(1.3)), text = element_text(size=13)) + scale_colour_brewer(palette="Set1") It changes the colour of the points and adds to the legend, which I don't want to do. Any advice would be much appreciated!

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• Where to post code for open source usage?

  - by Douglas

  I've been working for a few weeks now with the Google Maps API v3, and have done a good bit of development for the map I've been creating. Some of the things I've done have had to be done to add usability where there previously was not any, at least not that I could find online. Essentially, I made a list of what had to be done, searched all over the web for the ways to do what I needed, and found that some were not(at the time) possible(in the "grab an example off the web" sense). Thus, in my working on this map, I have created a number of very useful tools, which I would like to share with the development community. Is there anywhere I could use as a hub, apart from my portfolio ( http://dougglover.com ), to allow people to view and recycle my work? I know how hard it can be to need to do something, and be unable to find the solution elsewhere, and I don't think that if something has been done before, it should necessarily need to be written again and again. Hence open source code, right? Firstly, I was considering coming on here and asking a question, and then just answering it. Problem there is I assume that would just look like a big reputation grab. If not, please let me know and I'll go ahead and do that so people here can see it. Other suggestions appreciated. Some stuff I've made: A (new and improved) LatLng generator Works quicker, generates LatLng based on position of a draggable marker Allows searching for an address to place the marker on/near the desired location(much better than having to scroll to your location all the way from Siberia) Since it's a draggable marker, double-clicking zooms in, instead of creating a new LatLng marker like the one I was originally using The ability to create entirely custom "Smart Paths" Plot LatLng points on the map which connect to each other just like they do using the actual Google Maps Using Dijkstra's algorithm with Javascript, the routing is intelligent and always gives the shortest possible route, using the points provided Simple, easy to read multi-dimensional array system allows for easily adding new points to the grid Any suggestions, etc. appreciated.

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• How can I superimpose modified loess lines on a ggplot2 qplot?

  - by briandk

  Background Right now, I'm creating a multiple-predictor linear model and generating diagnostic plots to assess regression assumptions. (It's for a multiple regression analysis stats class that I'm loving at the moment :-) My textbook (Cohen, Cohen, West, and Aiken 2003) recommends plotting each predictor against the residuals to make sure that: The residuals don't systematically covary with the predictor The residuals are homoscedastic with respect to each predictor in the model On point (2), my textbook has this to say: Some statistical packages allow the analyst to plot lowess fit lines at the mean of the residuals (0-line), 1 standard deviation above the mean, and 1 standard deviation below the mean of the residuals....In the present case {their example}, the two lines {mean + 1sd and mean - 1sd} remain roughly parallel to the lowess {0} line, consistent with the interpretation that the variance of the residuals does not change as a function of X. (p. 131) How can I modify loess lines? I know how to generate a scatterplot with a "0-line,": # First, I'll make a simple linear model and get its diagnostic stats library(ggplot2) data(cars) mod <- fortify(lm(speed ~ dist, data = cars)) attach(mod) str(mod) # Now I want to make sure the residuals are homoscedastic qplot (x = dist, y = .resid, data = mod) + geom_smooth(se = FALSE) # "se = FALSE" Removes the standard error bands But does anyone know how I can use ggplot2 and qplot to generate plots where the 0-line, "mean + 1sd" AND "mean - 1sd" lines would be superimposed? Is that a weird/complex question to be asking?

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• Group variables in a boxplot in R

  - by tao.hong

  I am trying to generate a boxplot whose data come from two scenarios. In the plot, I would like to group boxes by their names (So there will be two boxes per variable). I know ggplot would be a good choice. But I got errors which I could not figure out. Can anyone give me some suggestions? sensitivity_out1 structure(c(0.0522902104339716, 0.0521369824334004, 0.0520240345973737, 0.0519818337359876, 0.051935071418996, 0.0519089404325544, 0.000392698277338341, 0.000326135474295325, 0.000280863338343747, 0.000259631566041935, 0.000246594043996332, 0.000237923540393391, 0.00046732650331544, 0.000474448907808135, 0.000478287273678457, 0.000480194683464109, 0.000480631753078668, 0.000481760272726273, 0.000947965771207979, 0.000944821699830455, 0.000939631071343889, 0.000937186900570605, 0.000936007346568281, 0.000934756220144141, 0.00132442589501872, 0.00132658367774979, 0.00133334696220742, 0.00133622384928092, 0.0013381577476241, 0.00134005741746304, 0.0991622968751298, 0.100791399440082, 0.101946808417405, 0.102524244727408, 0.102920085260477, 0.103232984259916, 0.0305219507186844, 0.0304635269233494, 0.0304161055015213, 0.0303742106794513, 0.0303381888169022, 0.0302996157711171, 1.94268588634518e-05, 2.23991225564447e-05, 2.5756135487907e-05, 2.79997917298194e-05, 3.00753967077715e-05, 3.16270817369878e-05, 0.544701146678523, 0.542887331601984, 0.541632986366816, 0.541005610554556, 0.540617004208336, 0.540315690692195, 0.000453386694666078, 0.000448473414508756, 0.00044692043197248, 0.000444826296854332, 0.000445747996014684, 0.000444764303682453, 0.000127569551159321, 0.000128422491392669, 0.00012933662856487, 0.000129941842982939, 0.000129578971489026, 0.000131113075233758, 0.00684610571790029, 0.00686349387897349, 0.00687468164010565, 0.00687880720347743, 0.00688275579317197, 0.00687822247621936), .Dim = c(6L, 12L)) out2 structure(c(0.0189965816735366, 0.0189995096225103, 0.0190099362589894, 0.0190033523148514, 0.01900896721937, 0.0190099427513381, 0.00192043989797585, 0.00207303208721059, 0.00225931163225165, 0.0024049969048389, 0.00252310364086785, 0.00262940166568126, 0.00195164921633517, 0.00190079923515755, 0.00186139563778548, 0.00184188171395076, 0.00183248544676564, 0.00182492970673969, 1.83038731485927e-05, 1.98252671720347e-05, 2.14794764479231e-05, 2.30713122969332e-05, 2.4484220713564e-05, 2.55958833705284e-05, 0.0428066864455102, 0.0431686808647809, 0.0434411033615353, 0.0435883377765726, 0.0436690169266633, 0.0437340464360965, 0.145288252474567, 0.141488776430307, 0.138204532539654, 0.136281799717717, 0.134864952272761, 0.133738386148036, 0.0711728636959696, 0.072031388688795, 0.0727536853228245, 0.0731581966147734, 0.0734424337399303, 0.0736637270702609, 0.000605277151497094, 0.000617268349064968, 0.000632975679951382, 0.000643904422677427, 0.000653775268094148, 0.000662225067910141, 0.26735354610469, 0.267515415990146, 0.26753155165617, 0.267553498616325, 0.267532284594615, 0.267510330320289, 0.000334158771646756, 0.000319032383145857, 0.000306074699839994, 0.000299153278494114, 0.000293956197852583, 0.000290171804454218, 0.000645975219899115, 0.000637548672578787, 0.000632375486965757, 0.000629579821884212, 0.000624956458229123, 0.000622456283217054, 0.0645188290106884, 0.0651539609630352, 0.0656417364889907, 0.0658996698322889, 0.0660715073023965, 0.0662034341510152), .Dim = c(6L, 12L)) Melt data: group variable value 1 1 PLDKRT 0 2 1 PLDKRT 0 3 1 PLDKRT 0 4 1 PLDKRT 0 5 1 PLDKRT 0 6 1 PLDKRT 0 Code: #Data_source 1 sensitivity_1=rbind(sensitivity_out1,sensitivity_out2) sensitivity_1=data.frame(sensitivity_1) colnames(sensitivity_1)=main_l #variable names sensitivity_1$group=1 #Data_source 2 sensitivity_2=rbind(sensitivity_out1[3:4,],sensitivity_out2[3:4,]) sensitivity_2=data.frame(sensitivity_2) colnames(sensitivity_2)=main_l sensitivity_2$group=2 sensitivity_pool=rbind(sensitivity_1,sensitivity_2) sensitivity_pool_m=melt(sensitivity_pool,id.vars="group") ggplot(data = sensitivity_pool_m, aes(x = variable, y = value)) + geom_boxplot(aes( fill= group), width = 0.8) Error: "Error in unit(tic_pos.c, "mm") : 'x' and 'units' must have length > 0" Update Figure out the error. I should use geom_boxplot(aes( fill= factor(group)), width = 0.8) rather than fill= group

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